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Items: 1 to 20 of 126

1.

Assessment of the increase in variability when combining volumetric data from different scanners.

Reig S, Sánchez-González J, Arango C, Castro J, González-Pinto A, Ortuño F, Crespo-Facorro B, Bargalló N, Desco M.

Hum Brain Mapp. 2009 Feb;30(2):355-68.

PMID:
18064586
2.

Improving tissue classification in MRI: a three-dimensional multispectral discriminant analysis method with automated training class selection.

Harris G, Andreasen NC, Cizadlo T, Bailey JM, Bockholt HJ, Magnotta VA, Arndt S.

J Comput Assist Tomogr. 1999 Jan-Feb;23(1):144-54.

PMID:
10050826
3.

Intra- and interscanner variability of automated voxel-based volumetry based on a 3D probabilistic atlas of human cerebral structures.

Huppertz HJ, Kröll-Seger J, Klöppel S, Ganz RE, Kassubek J.

Neuroimage. 2010 Feb 1;49(3):2216-24. doi: 10.1016/j.neuroimage.2009.10.066. Epub 2009 Oct 28.

PMID:
19878722
4.

Mapping reliability in multicenter MRI: voxel-based morphometry and cortical thickness.

Schnack HG, van Haren NE, Brouwer RM, van Baal GC, Picchioni M, Weisbrod M, Sauer H, Cannon TD, Huttunen M, Lepage C, Collins DL, Evans A, Murray RM, Kahn RS, Hulshoff Pol HE.

Hum Brain Mapp. 2010 Dec;31(12):1967-82. doi: 10.1002/hbm.20991. Epub 2010 Apr 16.

PMID:
21086550
5.

Reliability of medial temporal lobe volume measurements using reformatted 3D images.

Bartzokis G, Altshuler LL, Greider T, Curran J, Keen B, Dixon WJ.

Psychiatry Res. 1998 Apr 10;82(1):11-24.

PMID:
9645547
6.

Multi-spectral brain tissue segmentation using automatically trained k-Nearest-Neighbor classification.

Vrooman HA, Cocosco CA, van der Lijn F, Stokking R, Ikram MA, Vernooij MW, Breteler MM, Niessen WJ.

Neuroimage. 2007 Aug 1;37(1):71-81. Epub 2007 May 21.

PMID:
17572111
7.

Reliable manual segmentation of the frontal, parietal, temporal, and occipital lobes on magnetic resonance images of healthy subjects.

Bokde AL, Teipel SJ, Schwarz R, Leinsinger G, Buerger K, Moeller T, Möller HJ, Hampel H.

Brain Res Brain Res Protoc. 2005 Apr;14(3):135-45.

PMID:
15795167
8.

An automated procedure for the assessment of white matter hyperintensities by multispectral (T1, T2, PD) MRI and an evaluation of its between-centre reproducibility based on two large community databases.

Maillard P, Delcroix N, Crivello F, Dufouil C, Gicquel S, Joliot M, Tzourio-Mazoyer N, Alpérovitch A, Tzourio C, Mazoyer B.

Neuroradiology. 2008 Jan;50(1):31-42. Epub 2007 Oct 16.

PMID:
17938898
9.

Probabilistic brain tissue segmentation in neonatal magnetic resonance imaging.

Anbeek P, Vincken KL, Groenendaal F, Koeman A, van Osch MJ, van der Grond J.

Pediatr Res. 2008 Feb;63(2):158-63.

PMID:
18091357
10.

In vivo biochemical 7.0 Tesla magnetic resonance: preliminary results of dGEMRIC, zonal T2, and T2* mapping of articular cartilage.

Welsch GH, Mamisch TC, Hughes T, Zilkens C, Quirbach S, Scheffler K, Kraff O, Schweitzer ME, Szomolanyi P, Trattnig S.

Invest Radiol. 2008 Sep;43(9):619-26. doi: 10.1097/RLI.0b013e31817e9122.

PMID:
18708855
11.

Semiautomatic brain region extraction: a method of parcellating brain regions from structural magnetic resonance images.

Dade LA, Gao FQ, Kovacevic N, Roy P, Rockel C, O'Toole CM, Lobaugh NJ, Feinstein A, Levine B, Black SE.

Neuroimage. 2004 Aug;22(4):1492-502.

PMID:
15275906
12.

Normal brain volume measurements using multispectral MRI segmentation.

Vaidyanathan M, Clarke LP, Heidtman C, Velthuizen RP, Hall LO.

Magn Reson Imaging. 1997;15(1):87-97.

PMID:
9084029
13.

Evaluation of automated brain MR image segmentation and volumetry methods.

Klauschen F, Goldman A, Barra V, Meyer-Lindenberg A, Lundervold A.

Hum Brain Mapp. 2009 Apr;30(4):1310-27. doi: 10.1002/hbm.20599.

PMID:
18537111
14.

Magnetic field dependence of the distribution of NMR relaxation times in the living human brain.

Oros-Peusquens AM, Laurila M, Shah NJ.

MAGMA. 2008 Mar;21(1-2):131-47. doi: 10.1007/s10334-008-0107-5. Epub 2008 Mar 13.

PMID:
18338191
15.

Comparison of the reproducibility of quantitative cardiac left ventricular assessments in healthy volunteers using different MRI scanners: a multicenter simulation.

Gandy SJ, Waugh SA, Nicholas RS, Simpson HJ, Milne W, Houston JG.

J Magn Reson Imaging. 2008 Aug;28(2):359-65. doi: 10.1002/jmri.21401.

PMID:
18666157
16.

Impact of acquisition protocols and processing streams on tissue segmentation of T1 weighted MR images.

Clark KA, Woods RP, Rottenberg DA, Toga AW, Mazziotta JC.

Neuroimage. 2006 Jan 1;29(1):185-202. Epub 2005 Aug 31.

PMID:
16139526
17.

Semiautomated volumetry of the cerebrum, cerebellum-brain stem, and temporal lobe on brain magnetic resonance images.

Hayashi N, Sanada S, Suzuki M, Matsuura Y, Kawahara K, Tsujii H, Yamamoto T, Matsui O.

Radiat Med. 2008 Feb;26(2):104-14. doi: 10.1007/s11604-007-0200-0. Epub 2008 Feb 27.

PMID:
18301988
18.

Reproducibility of the aortic input function (AIF) derived from dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) of the kidneys in a volunteer study.

Mendichovszky IA, Cutajar M, Gordon I.

Eur J Radiol. 2009 Sep;71(3):576-81. doi: 10.1016/j.ejrad.2008.09.025. Epub 2008 Nov 11.

PMID:
19004588
19.

A meta-algorithm for brain extraction in MRI.

Rex DE, Shattuck DW, Woods RP, Narr KL, Luders E, Rehm K, Stoltzner SE, Rottenberg DA, Toga AW.

Neuroimage. 2004 Oct;23(2):625-37. Erratum in: Neuroimage. 2008 Jan 15;39(2):913. Stolzner, Sarah E [corrected to Stoltzner, Sarah E].

PMID:
15488412
20.

Clustering of atlas-defined cortical regions based on relaxation times and proton density.

Aubert-Broche B, Grova C, Pike GB, Collins DL.

Neuroimage. 2009 Aug 15;47(2):523-32. doi: 10.1016/j.neuroimage.2009.04.079. Epub 2009 May 6.

PMID:
19426811

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